A hurricane forecast consists of two main components: a forecast of the hurricane wind field, usually reported as the category and track of the hurricane; and a forecast of the resulting storm surge.
This evaluation consists of applying the forecasting model and calculating a corresponding evaluation value (e.g., the mean absolute error).
The diagnostic analysis of PoP forecasts consists of graphical displays and quantitative measures describing various aspects (or attributes) of forecast quality, including calibration (or reliability), refinement, resolution, discrimination, accuracy, bias, and skill.
Perez et al. [15] forecast wind speed using a blended ensemble, which consists of the Weather Research and Forecasting Single Column Model and time series forecasts that are calibrated with Bayesian model averaging.
This forecast consists of an ensemble of 76 members, showing future changes relative to recent (forecast) conditions.
Currently, the system consists of a numerical weather forecast model and a long range air pollution transport model.
The industrial explosion hazards control mechanism consists of disaster monitoring and forecasting, disaster relief, and post-disaster recovery components.
The probabilistic forecast consists of 1000 discrete realizations according to the estimated probability mass functions for each hour of the next day, and reduced to 10 scenarios for computational tractability [36].
The model error covariance matrix can be computed as, P_{text{e}} = frac{{(U - bar{U})(U - bar{U})^{text{T}} }}{N - 1} (12)ThEnKFKF algorithm consists of two steps, a forecast step (U f) and an update step (U a).
The proposed robust layered ensemble model (RLEM) for short-term traffic forecasting consists of two layers as shown in Fig. 1 and is able to track the changes in data streams, such as traffic flows, and to use this information to improve the forecasting accuracy.
